Javascript must be enabled for the correct page display

How do we see exciton dynamics in antenna networks with 2D spectroscopy?

Zijp, Teun (2021) How do we see exciton dynamics in antenna networks with 2D spectroscopy? Master's Thesis / Essay, Nanoscience.

[img]
Preview
Text
2021-08-10 Masterthesis v13 - perfectionized.pdf

Download (10MB) | Preview
[img] Text
Toestemming.pdf
Restricted to Registered users only

Download (133kB)

Abstract

The capture of light by molecular antennas and the subsequent energy transfer are processes widely spread in nature and artificial light harvesting (LH) systems. This makes photosynthesis a fundamentally interesting topic to study. Upto now, the connectivity within the natural light harvesting networks in bacteria is typically studied with two dimensional electronic spectroscopy (2DES), which has a low signal to noise ratio. Fluorescence detected two dimensional electronic spectroscopy (FD-2DES) is a new technique, which has a higher signal to noise ratio. Since the FD-2DES technique is new, I developed a theoretical model to predict FD-2DES spectra. The theoretical model is meant to be a toy model, so that we can play with various variables,beyond what can be measured with the FD-2DES spectroscopy technique. Finally, the toy model is exploited to predict spectra of a wide scale of samples. The model predicts that there is a negative correlation between the cross peak intensity and the concentration of LH1. It also predicts that the upper and lower diagonal peaks should be as intense, irrespective of LH1 concentration. This is something which experimentalists could measure. --- The thesis contains detailed documentation of the code, so that everyone with interest in performing similar exciton dynamics simulations can reproduce the results with this code. Reference to the author is appreciated.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Jansen, T.L.C. and Havenith, R.W.A.
Degree programme: Nanoscience
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 11 Aug 2021 07:54
Last Modified: 11 Aug 2021 07:54
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/25650

Actions (login required)

View Item View Item